Publications by authors named "M Blumenstein"
In the maritime environment, the instance segmentation of small ships is crucial. Small ships are characterized by their limited appearance, smaller size, and ships in distant locations in marine scenes. However, existing instance segmentation algorithms do not detect and segment them, resulting in inaccurate ship segmentation.
View Article and Find Full Text PDFA Conformable Moments-Based Deep Learning System for Forged Handwriting Detection.
IEEE Trans Neural Netw Learn Syst
April 2024
Article Synopsis
- Detecting forged handwriting is crucial for various machine learning applications, but it becomes difficult with noisy and blurry images.
- This article introduces a new model combining conformable moments (CMs) and deep ensemble neural networks (DENNs) to effectively identify different types of altered handwriting.
- The proposed method has been tested on both a new dataset of character-level handwritten alterations and several standard datasets, showing superior classification rates compared to existing approaches.
Article Synopsis
- * Recent clinical trials and studies suggest that thromboprophylaxis strategies for COVID-19 patients should be tailored to individual needs rather than applying a one-size-fits-all approach.
- * The updated guidance from the Anticoagulation Forum covers thromboprophylaxis for patients in different care settings and addresses concerns for those with existing thrombotic conditions regarding COVID-19 vaccination.
Raw sequencing reads of miRNAs contain machine-made substitution errors, or even insertions and deletions (indels). Although the error rate can be low at 0.1%, precise rectification of these errors is critically important because isoform variation analysis at single-base resolution such as novel isomiR discovery, editing events understanding, differential expression analysis, or tissue-specific isoform identification is very sensitive to base positions and copy counts of the reads.
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